Invited Speaker

The Open Information Extraction Project

Prof. Mausam, Associate Professor, Indian Institute of Technology Delhi

Affiliate Faculty, University of Washington, Seattle

Abstract:

Open Information Extraction is an attractive paradigm for extracting large amounts of relational facts from natural language text in a domain-independent manner. In this talk I will describe a brief history of the project starting way back in 2005, and the series of enhancements leading up to the latest open extractors. I will end with some applications work that uses open extractions for various end tasks, including unsupervised event schema generation and deep learning of word vectors.

Bio:

Prof. Mausam is an associate professor at the Dept. of Computer Science in IIT-Delhi and an affiliate faculty at the University of Washington.

His work focuses on large-scale information extraction and text summarization, AI & ML applications to crowdsourcing and education, automated planning under uncertainty, machine learning, and probabilistic reasoning.

He holds a Masters and PhD in Computer Science from University of Washington, Seattle.

Mausam has been granted Senior Member status in the Association for the Advancement of Artificial Intelligence(AAAI).